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Field
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your application: Experience in nanotechnology (cleanroom) Experience in measurement, design or analysis of integrated photonic devices Knowledge of specific software tools in photonic integration
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artificial intelligence. The project will test participant witnesses using a mock witness paradigm. Witnesses will be able to adjust lighting, toggle disguise features, and control viewing angle during lineups
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fabrication strategies, supporting experimental characterisation and electrochemical testing in collaboration with project partners, and feeding experimental results back into modelling and machine-learning
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
programming languages such as Python, FORTRAN, or similar, and an experience with using an FEA software. You must be fluent in spoken and written English. Your education must correspond to a five-year Norwegian
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the Congolese diaspora in Belgium is recommended; - Key technical skills for developing maps, including experience with platforms such as ArcGIS or QGIS, and software like AutoCAD and Adobe Suite; - Web
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eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary We have immediate availability for postdoctoral associate researchers in experimental particle physics on the CMS
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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mass spectrometric analyses, to examine the recruitment and polarization mechanisms within distinct inflammatory niches. You will be responsible for Planning and independent execution of experiments
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sheet fluorescence microscopy, alongside flow cytometric and mass spectrometric analyses, to examine the recruitment and polarization mechanisms within distinct inflammatory niches. You will be